At EnsoData, I build Python and FastAPI services for AI-assisted sleep analysis, turning physiological signals into production diagnostic and scoring workflows used across a sleep-care platform serving more than 400 clinics. I deploy reliable ML inference services with PyTorch, TensorFlow, Kubernetes, Docker, Celery, Redis, PostgreSQL, and cloud-native observability.
Previously at iHerb, I developed recommendation, ranking, forecasting, segmentation, and analytics services for an e-commerce platform serving more than 10 million active customers in 185+ countries. My full-stack engineering background lets me carry AI products from data preparation and model evaluation through APIs, deployment automation, and production support.
